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DBMS > GBase vs. GridGain vs. OceanBase vs. Quasardb

System Properties Comparison GBase vs. GridGain vs. OceanBase vs. Quasardb

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGridGain  Xexclude from comparisonOceanBase  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GridGain is an in-memory computing platform, built on Apache IgniteA distributed, high available RDBMS compatible with Oracle and MySQLDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.gbase.cnwww.gridgain.comen.oceanbase.comquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmlen.oceanbase.com/­docs/­oceanbase-databasedoc.quasar.ai/­master
DeveloperGeneral Data Technology Co., Ltd.GridGain Systems, Inc.OceanBase infopreviously Alibaba and Ant Groupquasardb
Initial release2004200720102009
Current releaseGBase 8a, GBase 8s, GBase 8cGridGain 8.5.14.3.0, April 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, C++, .NetC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesyesno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
HTTP API
Supported programming languagesC#C#
C++
Java
PHP
Python
Ruby
Scala
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)PL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication using PaxosSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlyesSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
GBaseGridGainOceanBaseQuasardb
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